Neuro-Fuzzy Support of Knowledge Management in Social Regulation
Sonja Yrjo Olavi Petrovic-Lazarevic · AIP conference proceedings · 2002
The aim of the paper is to demonstrate the neuro‐fuzzy support of knowledge management in social regulation. Knowledge could be understood for social regulation purposes as explicit and tacit. Explicit knowledge relates to the community culture indicating how things work in the community based on social policies and procedures. Tacit knowledge is ethics and norms of the community. The former could be codified, stored and transferable in order to support decision making, while the latter being based on personal knowledge, experience and judgments is difficult to codify and store. Tacit knowledge expressed through linguistic information can be stored and used to support knowledge management in social regulation through the application of fuzzy and neuro‐fuzzy logic.